Conference Proceedings

Detecting Motifs in System Call Sequences

William Wilson, Jan Feyereisl, Uwe Aickelin

Information Security Applications | Springer Verlag | Published : 2007

Abstract

The search for patterns or motifs in data represents an area of key interest to many researchers. In this paper we present the Motif Tracking Algorithm, a novel immune inspired pattern identification tool that is able to identify unknown motifs which repeat within time series data. The power of the algorithm is derived from its use of a small number of parameters with minimal assumptions. The algorithm searches from a completely neutral perspective that is independent of the data being analysed and the underlying motifs. In this paper the motif tracking algorithm is applied to the search for patterns within sequences of low level system calls between the Linux kernel and the operating system..

View full abstract

University of Melbourne Researchers